You will get AI Data Labeling & Dataset Creation for Machine Learning Models


Project details
I provide clean, structured, training-ready datasets for AI and machine learning projects. You send me your raw text — reviews, messages, documents, or any unstructured data — and I return a fully labeled CSV or Excel file with categories, reasons, and confidence scores on every item
What sets this service apart is the combination of accuracy, transparency, and multilingual capability. Every label comes with a written reason so you know exactly why each item was classified the way it was. Ambiguous items are flagged rather than guessed. For Standard and Advanced orders, a full quality report is included showing label distribution, consistency rate, and any issues found and resolved.
I work in English, Spanish, and Arabic — making this service ideal for global AI teams building diverse, multilingual datasets.
What sets this service apart is the combination of accuracy, transparency, and multilingual capability. Every label comes with a written reason so you know exactly why each item was classified the way it was. Ambiguous items are flagged rather than guessed. For Standard and Advanced orders, a full quality report is included showing label distribution, consistency rate, and any issues found and resolved.
I work in English, Spanish, and Arabic — making this service ideal for global AI teams building diverse, multilingual datasets.
Machine Learning Tools
BERT, Google Sheets, Microsoft Excel, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, TextBlobWhat's included
| Service Tiers |
Starter
$40
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 100 | 500 | 1000 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$15
Additional Scenario
(+ 1 Day)
+$15
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 2 Days)
+$40
Data Source Connectivity
+$25
Data Quality Audit Report
(+ 1 Day)
+$25
Custom Label Schema Design
(+ 1 Day)
+$20
Annotation Guidelines Document
(+ 2 Days)
+$40Frequently asked questions
About Win Ko
AI Engineer | Machine Learning | Prompt Engineering | Python | ChatGPT
Houston, United States - 11:25 pm local time
I help businesses integrate AI into their workflows, build machine learning models, and automate processes using Python, TensorFlow, and the OpenAI API. With demand for AI skills growing 109% year-over-year, I specialize in the exact services businesses need most right now.
🔥 WHAT I DELIVER FOR YOU:
• AI Integration & Automation: Seamlessly embed AI into your existing tools and workflows to save time and reduce manual work.
• Machine Learning Models: Build custom predictive models using Python, TensorFlow, and Scikit-Learn to turn your data into actionable insights.
• AI Data Annotation & Labeling: Create high-quality, structured training datasets to power accurate machine learning models.
• Prompt Engineering: Craft precision-optimized prompts for ChatGPT, Claude AI, and other LLMs for your specific business use cases.
• Document & Workflow Automation: Automate Word, PDF, and Excel document generation to streamline your business operations.
💻 TOOLS & TECHNOLOGIES:
Python | TensorFlow | Scikit-Learn | Pandas | OpenAI API | ChatGPT | Claude AI | Data Analytics | Predictive Analytics
✅ WHY CLIENTS CHOOSE ME:
• Fast response time (0–4 hours)
• Clear communication throughout every project
• Solution-oriented approach — I understand your problem first, then apply the right AI tools
• Verified ID and trusted on Upwork
I work with businesses in technology, healthcare, and education who want to leverage AI to grow faster and smarter. Let's discuss your project — send me a message today!
Steps for completing your project
After purchasing the project, send requirements so Win Ko can start the project.
Delivery time starts when Win Ko receives requirements from you.
Win Ko works on your project following the steps below.
Revisions may occur after the delivery date.
Review Your Data
I review your uploaded dataset, check the item count, language, and format to confirm everything is ready to begin.
Confirm Label Schema
I confirm the label categories and annotation rules with you before starting. If needed, I design a custom schema based on your AI project goals.

